Struct opencv::core::Ptr

pub struct Ptr<T: ?Sized>
where
    Self: PtrExtern,
{
    ptr: *mut c_void,
    _d: PhantomData<T>,
}

This is similar to Rust Arc, but handled by the C++. Some OpenCV functions insist on accepting Ptr instead of a heap allocated object so we need to satisfy those.

docs.opencv.org 3.x docs.opencv.org 4.x

Fields

ptr: *mut c_void

_d: PhantomData<T>

Implementations

impl<T: ?Sized> Ptr<T>

where Self: PtrExtern,

pub fn new(val: T) -> Self

where T: OpenCVTypeExternContainerMove + Sized, Self: PtrExternCtor<T>,

Create a new Ptr from the object

pub fn inner_as_raw(&self) -> *const c_void

Get raw pointer to the inner object

pub fn inner_as_raw_mut(&mut self) -> *mut c_void

Get mutable raw pointer to the inner object

impl Ptr<Algorithm>

pub fn as_raw_PtrOfAlgorithm( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfAlgorithm( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ConjGradSolver>

pub fn as_raw_PtrOfConjGradSolver( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfConjGradSolver( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<DownhillSolver>

pub fn as_raw_PtrOfDownhillSolver( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfDownhillSolver( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<FileStorage>

pub fn as_raw_PtrOfFileStorage( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfFileStorage( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<Formatted>

pub fn as_raw_PtrOfFormatted( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfFormatted( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<Formatter>

pub fn as_raw_PtrOfFormatter( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfFormatter( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<GpuMat_Allocator>

pub fn as_raw_PtrOfGpuMat_Allocator( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfGpuMat_Allocator( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<MinProblemSolver>

pub fn as_raw_PtrOfMinProblemSolver( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfMinProblemSolver( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<MinProblemSolver_Function>

pub fn as_raw_PtrOfMinProblemSolver_Function( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfMinProblemSolver_Function( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<f32>

pub fn as_raw_PtrOff32(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOff32( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<AbsLayer>

pub fn as_raw_PtrOfAbsLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfAbsLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<AccumLayer>

pub fn as_raw_PtrOfAccumLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfAccumLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ActivationLayer>

pub fn as_raw_PtrOfActivationLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfActivationLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ActivationLayerInt8>

pub fn as_raw_PtrOfActivationLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfActivationLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<BNLLLayer>

pub fn as_raw_PtrOfBNLLLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfBNLLLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<BackendNode>

pub fn as_raw_PtrOfBackendNode( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfBackendNode( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<BackendWrapper>

pub fn as_raw_PtrOfBackendWrapper( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfBackendWrapper( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<BaseConvolutionLayer>

pub fn as_raw_PtrOfBaseConvolutionLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfBaseConvolutionLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<BatchNormLayer>

pub fn as_raw_PtrOfBatchNormLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfBatchNormLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<BatchNormLayerInt8>

pub fn as_raw_PtrOfBatchNormLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfBatchNormLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<BlankLayer>

pub fn as_raw_PtrOfBlankLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfBlankLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ChannelsPReLULayer>

pub fn as_raw_PtrOfChannelsPReLULayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfChannelsPReLULayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ConcatLayer>

pub fn as_raw_PtrOfConcatLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfConcatLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ConstLayer>

pub fn as_raw_PtrOfConstLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfConstLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ConvolutionLayer>

pub fn as_raw_PtrOfConvolutionLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfConvolutionLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ConvolutionLayerInt8>

pub fn as_raw_PtrOfConvolutionLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfConvolutionLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<CorrelationLayer>

pub fn as_raw_PtrOfCorrelationLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfCorrelationLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<CropAndResizeLayer>

pub fn as_raw_PtrOfCropAndResizeLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfCropAndResizeLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<CropLayer>

pub fn as_raw_PtrOfCropLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfCropLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<CumSumLayer>

pub fn as_raw_PtrOfCumSumLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfCumSumLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<DataAugmentationLayer>

pub fn as_raw_PtrOfDataAugmentationLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfDataAugmentationLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<DeconvolutionLayer>

pub fn as_raw_PtrOfDeconvolutionLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfDeconvolutionLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<DequantizeLayer>

pub fn as_raw_PtrOfDequantizeLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfDequantizeLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<DetectionOutputLayer>

pub fn as_raw_PtrOfDetectionOutputLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfDetectionOutputLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ELULayer>

pub fn as_raw_PtrOfELULayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfELULayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<EltwiseLayer>

pub fn as_raw_PtrOfEltwiseLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfEltwiseLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<EltwiseLayerInt8>

pub fn as_raw_PtrOfEltwiseLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfEltwiseLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ExpLayer>

pub fn as_raw_PtrOfExpLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfExpLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<FlattenLayer>

pub fn as_raw_PtrOfFlattenLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfFlattenLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<FlowWarpLayer>

pub fn as_raw_PtrOfFlowWarpLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfFlowWarpLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<GRULayer>

pub fn as_raw_PtrOfGRULayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfGRULayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<InnerProductLayer>

pub fn as_raw_PtrOfInnerProductLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfInnerProductLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<InnerProductLayerInt8>

pub fn as_raw_PtrOfInnerProductLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfInnerProductLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<InterpLayer>

pub fn as_raw_PtrOfInterpLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfInterpLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<LRNLayer>

pub fn as_raw_PtrOfLRNLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfLRNLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<LSTMLayer>

pub fn as_raw_PtrOfLSTMLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfLSTMLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<Layer>

pub fn as_raw_PtrOfLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<MVNLayer>

pub fn as_raw_PtrOfMVNLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfMVNLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<MaxUnpoolLayer>

pub fn as_raw_PtrOfMaxUnpoolLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfMaxUnpoolLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<MishLayer>

pub fn as_raw_PtrOfMishLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfMishLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<NormalizeBBoxLayer>

pub fn as_raw_PtrOfNormalizeBBoxLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfNormalizeBBoxLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<PaddingLayer>

pub fn as_raw_PtrOfPaddingLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfPaddingLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<PermuteLayer>

pub fn as_raw_PtrOfPermuteLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfPermuteLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<PoolingLayer>

pub fn as_raw_PtrOfPoolingLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfPoolingLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<PoolingLayerInt8>

pub fn as_raw_PtrOfPoolingLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfPoolingLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<PowerLayer>

pub fn as_raw_PtrOfPowerLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfPowerLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<PriorBoxLayer>

pub fn as_raw_PtrOfPriorBoxLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfPriorBoxLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ProposalLayer>

pub fn as_raw_PtrOfProposalLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfProposalLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<QuantizeLayer>

pub fn as_raw_PtrOfQuantizeLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfQuantizeLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<RNNLayer>

pub fn as_raw_PtrOfRNNLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfRNNLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ReLU6Layer>

pub fn as_raw_PtrOfReLU6Layer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfReLU6Layer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ReLULayer>

pub fn as_raw_PtrOfReLULayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfReLULayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<RegionLayer>

pub fn as_raw_PtrOfRegionLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfRegionLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ReorgLayer>

pub fn as_raw_PtrOfReorgLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfReorgLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<RequantizeLayer>

pub fn as_raw_PtrOfRequantizeLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfRequantizeLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ReshapeLayer>

pub fn as_raw_PtrOfReshapeLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfReshapeLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ResizeLayer>

pub fn as_raw_PtrOfResizeLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfResizeLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ScaleLayer>

pub fn as_raw_PtrOfScaleLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfScaleLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ScaleLayerInt8>

pub fn as_raw_PtrOfScaleLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfScaleLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ShiftLayer>

pub fn as_raw_PtrOfShiftLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfShiftLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ShiftLayerInt8>

pub fn as_raw_PtrOfShiftLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfShiftLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<ShuffleChannelLayer>

pub fn as_raw_PtrOfShuffleChannelLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfShuffleChannelLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<SigmoidLayer>

pub fn as_raw_PtrOfSigmoidLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfSigmoidLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<SliceLayer>

pub fn as_raw_PtrOfSliceLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfSliceLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<SoftmaxLayer>

pub fn as_raw_PtrOfSoftmaxLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfSoftmaxLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<SoftmaxLayerInt8>

pub fn as_raw_PtrOfSoftmaxLayerInt8( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfSoftmaxLayerInt8( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<SplitLayer>

pub fn as_raw_PtrOfSplitLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfSplitLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<SwishLayer>

pub fn as_raw_PtrOfSwishLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfSwishLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<TanHLayer>

pub fn as_raw_PtrOfTanHLayer( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfTanHLayer( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<CLAHE>

pub fn as_raw_PtrOfCLAHE( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfCLAHE( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<GeneralizedHough>

pub fn as_raw_PtrOfGeneralizedHough( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfGeneralizedHough( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<GeneralizedHoughBallard>

pub fn as_raw_PtrOfGeneralizedHoughBallard( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfGeneralizedHoughBallard( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<GeneralizedHoughGuil>

pub fn as_raw_PtrOfGeneralizedHoughGuil( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfGeneralizedHoughGuil( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Ptr<LineSegmentDetector>

pub fn as_raw_PtrOfLineSegmentDetector( &self ) -> <Self as OpenCVTypeExternContainer>::ExternSend

pub fn as_raw_mut_PtrOfLineSegmentDetector( &mut self ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

Methods from Deref<Target = f32>

pub const RADIX: u32 = 2u32

pub const MANTISSA_DIGITS: u32 = 24u32

pub const DIGITS: u32 = 6u32

pub const EPSILON: f32 = 1.1920929E-7f32

pub const MIN: f32 = -3.40282347E+38f32

pub const MIN_POSITIVE: f32 = 1.17549435E-38f32

pub const MAX: f32 = 3.40282347E+38f32

pub const MIN_EXP: i32 = -125i32

pub const MAX_EXP: i32 = 128i32

pub const MIN_10_EXP: i32 = -37i32

pub const MAX_10_EXP: i32 = 38i32

pub const NAN: f32 = NaN_f32

pub const INFINITY: f32 = +Inf_f32

pub const NEG_INFINITY: f32 = -Inf_f32

pub fn total_cmp(&self, other: &f32) -> Ordering

Return the ordering between self and other.

Unlike the standard partial comparison between floating point numbers, this comparison always produces an ordering in accordance to the totalOrder predicate as defined in the IEEE 754 (2008 revision) floating point standard. The values are ordered in the following sequence:

• negative quiet NaN
• negative signaling NaN
• negative infinity
• negative numbers
• negative subnormal numbers
• negative zero
• positive zero
• positive subnormal numbers
• positive numbers
• positive infinity
• positive signaling NaN
• positive quiet NaN.

The ordering established by this function does not always agree with the PartialOrd and PartialEq implementations of f32. For example, they consider negative and positive zero equal, while total_cmp doesn’t.

The interpretation of the signaling NaN bit follows the definition in the IEEE 754 standard, which may not match the interpretation by some of the older, non-conformant (e.g. MIPS) hardware implementations.

Example

struct GoodBoy {
    name: String,
    weight: f32,
}

let mut bois = vec![
    GoodBoy { name: "Pucci".to_owned(), weight: 0.1 },
    GoodBoy { name: "Woofer".to_owned(), weight: 99.0 },
    GoodBoy { name: "Yapper".to_owned(), weight: 10.0 },
    GoodBoy { name: "Chonk".to_owned(), weight: f32::INFINITY },
    GoodBoy { name: "Abs. Unit".to_owned(), weight: f32::NAN },
    GoodBoy { name: "Floaty".to_owned(), weight: -5.0 },
];

bois.sort_by(|a, b| a.weight.total_cmp(&b.weight));

// `f32::NAN` could be positive or negative, which will affect the sort order.
if f32::NAN.is_sign_negative() {
    assert!(bois.into_iter().map(|b| b.weight)
        .zip([f32::NAN, -5.0, 0.1, 10.0, 99.0, f32::INFINITY].iter())
        .all(|(a, b)| a.to_bits() == b.to_bits()))
} else {
    assert!(bois.into_iter().map(|b| b.weight)
        .zip([-5.0, 0.1, 10.0, 99.0, f32::INFINITY, f32::NAN].iter())
        .all(|(a, b)| a.to_bits() == b.to_bits()))
}

Trait Implementations

impl AbsLayerTrait for Ptr<AbsLayer>

fn as_raw_mut_AbsLayer(&mut self) -> *mut c_void

impl AbsLayerTraitConst for Ptr<AbsLayer>

fn as_raw_AbsLayer(&self) -> *const c_void

impl AccumLayerTrait for Ptr<AccumLayer>

fn as_raw_mut_AccumLayer(&mut self) -> *mut c_void

impl AccumLayerTraitConst for Ptr<AccumLayer>

fn as_raw_AccumLayer(&self) -> *const c_void

impl ActivationLayerInt8Trait for Ptr<ActivationLayerInt8>

fn as_raw_mut_ActivationLayerInt8(&mut self) -> *mut c_void

impl ActivationLayerInt8TraitConst for Ptr<ActivationLayerInt8>

fn as_raw_ActivationLayerInt8(&self) -> *const c_void

impl ActivationLayerTrait for Ptr<AbsLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<ActivationLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<ActivationLayerInt8>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<BNLLLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<BatchNormLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<BatchNormLayerInt8>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<ChannelsPReLULayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<ELULayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<ExpLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<MishLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<PowerLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<ReLU6Layer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<ReLULayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<SigmoidLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<SwishLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTrait for Ptr<TanHLayer>

fn as_raw_mut_ActivationLayer(&mut self) -> *mut c_void

impl ActivationLayerTraitConst for Ptr<AbsLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<ActivationLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<ActivationLayerInt8>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<BNLLLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<BatchNormLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<BatchNormLayerInt8>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<ChannelsPReLULayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<ELULayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<ExpLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<MishLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<PowerLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<ReLU6Layer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<ReLULayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<SigmoidLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<SwishLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl ActivationLayerTraitConst for Ptr<TanHLayer>

fn as_raw_ActivationLayer(&self) -> *const c_void

fn forward_slice( &self, src: &f32, dst: &mut f32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

fn forward_slice_1( &self, src: &i32, lut: &i32, dst: &mut i32, len: i32, out_plane_size: size_t, cn0: i32, cn1: i32 ) -> Result<()>

impl AlgorithmTrait for Ptr<AbsLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<AccumLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ActivationLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ActivationLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<Algorithm>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<BNLLLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<BaseConvolutionLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<BatchNormLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<BatchNormLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<BlankLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<CLAHE>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ChannelsPReLULayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ConcatLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ConjGradSolver>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ConstLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ConvolutionLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ConvolutionLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<CorrelationLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<CropAndResizeLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<CropLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<CumSumLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<DataAugmentationLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<DeconvolutionLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<DequantizeLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<DetectionOutputLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<DownhillSolver>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ELULayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<EltwiseLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<EltwiseLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ExpLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<FlattenLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<FlowWarpLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<GRULayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<GeneralizedHough>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<GeneralizedHoughBallard>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<GeneralizedHoughGuil>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<InnerProductLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<InnerProductLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<InterpLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<LRNLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<LSTMLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<Layer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<LineSegmentDetector>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<MVNLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<MaxUnpoolLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<MinProblemSolver>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<MishLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<NormalizeBBoxLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<PaddingLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<PermuteLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<PoolingLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<PoolingLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<PowerLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<PriorBoxLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ProposalLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<QuantizeLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<RNNLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ReLU6Layer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ReLULayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<RegionLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ReorgLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<RequantizeLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ReshapeLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ResizeLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ScaleLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ScaleLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ShiftLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ShiftLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<ShuffleChannelLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<SigmoidLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<SliceLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<SoftmaxLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<SoftmaxLayerInt8>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<SplitLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<SwishLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for Ptr<TanHLayer>

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for Ptr<AbsLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<AccumLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ActivationLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ActivationLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<Algorithm>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<BNLLLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<BaseConvolutionLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<BatchNormLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<BatchNormLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<BlankLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<CLAHE>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ChannelsPReLULayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ConcatLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ConjGradSolver>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ConstLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ConvolutionLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ConvolutionLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<CorrelationLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<CropAndResizeLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<CropLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<CumSumLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<DataAugmentationLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<DeconvolutionLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<DequantizeLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<DetectionOutputLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<DownhillSolver>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ELULayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<EltwiseLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<EltwiseLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ExpLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<FlattenLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<FlowWarpLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<GRULayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<GeneralizedHough>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<GeneralizedHoughBallard>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<GeneralizedHoughGuil>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<InnerProductLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<InnerProductLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<InterpLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<LRNLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<LSTMLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<Layer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<LineSegmentDetector>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<MVNLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<MaxUnpoolLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<MinProblemSolver>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<MishLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<NormalizeBBoxLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<PaddingLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<PermuteLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<PoolingLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<PoolingLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<PowerLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<PriorBoxLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ProposalLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<QuantizeLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<RNNLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ReLU6Layer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ReLULayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<RegionLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ReorgLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<RequantizeLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ReshapeLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ResizeLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ScaleLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ScaleLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ShiftLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ShiftLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<ShuffleChannelLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<SigmoidLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<SliceLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<SoftmaxLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<SoftmaxLayerInt8>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<SplitLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<SwishLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for Ptr<TanHLayer>

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

simplified API for language bindings @overload

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl BNLLLayerTrait for Ptr<BNLLLayer>

fn as_raw_mut_BNLLLayer(&mut self) -> *mut c_void

impl BNLLLayerTraitConst for Ptr<BNLLLayer>

fn as_raw_BNLLLayer(&self) -> *const c_void

impl BackendNodeTrait for Ptr<BackendNode>

fn as_raw_mut_BackendNode(&mut self) -> *mut c_void

fn set_backend_id(&mut self, val: i32)

Backend identifier.

impl BackendNodeTraitConst for Ptr<BackendNode>

fn as_raw_BackendNode(&self) -> *const c_void

fn backend_id(&self) -> i32

Backend identifier.

impl BackendWrapperTrait for Ptr<BackendWrapper>

fn as_raw_mut_BackendWrapper(&mut self) -> *mut c_void

fn set_backend_id(&mut self, val: i32)

Backend identifier.

fn set_target_id(&mut self, val: i32)

Target identifier.

fn copy_to_host(&mut self) -> Result<()>

Transfer data to CPU host memory.

fn set_host_dirty(&mut self) -> Result<()>

Indicate that an actual data is on CPU.

impl BackendWrapperTraitConst for Ptr<BackendWrapper>

fn as_raw_BackendWrapper(&self) -> *const c_void

fn backend_id(&self) -> i32

Backend identifier.

fn target_id(&self) -> i32

Target identifier.

impl BaseConvolutionLayerTrait for Ptr<BaseConvolutionLayer>

fn as_raw_mut_BaseConvolutionLayer(&mut self) -> *mut c_void

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTrait for Ptr<ConvolutionLayer>

fn as_raw_mut_BaseConvolutionLayer(&mut self) -> *mut c_void

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTrait for Ptr<ConvolutionLayerInt8>

fn as_raw_mut_BaseConvolutionLayer(&mut self) -> *mut c_void

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTrait for Ptr<DeconvolutionLayer>

fn as_raw_mut_BaseConvolutionLayer(&mut self) -> *mut c_void

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTraitConst for Ptr<BaseConvolutionLayer>

fn as_raw_BaseConvolutionLayer(&self) -> *const c_void

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BaseConvolutionLayerTraitConst for Ptr<ConvolutionLayer>

fn as_raw_BaseConvolutionLayer(&self) -> *const c_void

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BaseConvolutionLayerTraitConst for Ptr<ConvolutionLayerInt8>

fn as_raw_BaseConvolutionLayer(&self) -> *const c_void

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BaseConvolutionLayerTraitConst for Ptr<DeconvolutionLayer>

fn as_raw_BaseConvolutionLayer(&self) -> *const c_void

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BatchNormLayerInt8Trait for Ptr<BatchNormLayerInt8>

fn as_raw_mut_BatchNormLayerInt8(&mut self) -> *mut c_void

fn set_input_sc(&mut self, val: f32)

fn set_output_sc(&mut self, val: f32)

fn set_input_zp(&mut self, val: i32)

fn set_output_zp(&mut self, val: i32)

impl BatchNormLayerInt8TraitConst for Ptr<BatchNormLayerInt8>

fn as_raw_BatchNormLayerInt8(&self) -> *const c_void

fn input_sc(&self) -> f32

fn output_sc(&self) -> f32

fn input_zp(&self) -> i32

fn output_zp(&self) -> i32

impl BatchNormLayerTrait for Ptr<BatchNormLayer>

fn as_raw_mut_BatchNormLayer(&mut self) -> *mut c_void

fn set_has_weights(&mut self, val: bool)

fn set_has_bias(&mut self, val: bool)

fn set_epsilon(&mut self, val: f32)

impl BatchNormLayerTrait for Ptr<BatchNormLayerInt8>

fn as_raw_mut_BatchNormLayer(&mut self) -> *mut c_void

fn set_has_weights(&mut self, val: bool)

fn set_has_bias(&mut self, val: bool)

fn set_epsilon(&mut self, val: f32)

impl BatchNormLayerTraitConst for Ptr<BatchNormLayer>

fn as_raw_BatchNormLayer(&self) -> *const c_void

fn has_weights(&self) -> bool

fn has_bias(&self) -> bool

fn epsilon(&self) -> f32

impl BatchNormLayerTraitConst for Ptr<BatchNormLayerInt8>

fn as_raw_BatchNormLayer(&self) -> *const c_void

fn has_weights(&self) -> bool

fn has_bias(&self) -> bool

fn epsilon(&self) -> f32

impl BlankLayerTrait for Ptr<BlankLayer>

fn as_raw_mut_BlankLayer(&mut self) -> *mut c_void

impl BlankLayerTraitConst for Ptr<BlankLayer>

fn as_raw_BlankLayer(&self) -> *const c_void

impl<T: ?Sized> Boxed for Ptr<T>

where Self: PtrExtern,

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer

impl CLAHETrait for Ptr<CLAHE>

fn as_raw_mut_CLAHE(&mut self) -> *mut c_void

fn apply( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray ) -> Result<()>

Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram Equalization.

fn set_clip_limit(&mut self, clip_limit: f64) -> Result<()>

Sets threshold for contrast limiting.

fn set_tiles_grid_size(&mut self, tile_grid_size: Size) -> Result<()>

Sets size of grid for histogram equalization. Input image will be divided into equally sized rectangular tiles.

fn collect_garbage(&mut self) -> Result<()>

impl CLAHETraitConst for Ptr<CLAHE>

fn as_raw_CLAHE(&self) -> *const c_void

fn get_clip_limit(&self) -> Result<f64>

Returns threshold value for contrast limiting.

fn get_tiles_grid_size(&self) -> Result<Size>

Returns Size defines the number of tiles in row and column.

impl ChannelsPReLULayerTrait for Ptr<ChannelsPReLULayer>

fn as_raw_mut_ChannelsPReLULayer(&mut self) -> *mut c_void

impl ChannelsPReLULayerTraitConst for Ptr<ChannelsPReLULayer>

fn as_raw_ChannelsPReLULayer(&self) -> *const c_void

impl ConcatLayerTrait for Ptr<ConcatLayer>

fn as_raw_mut_ConcatLayer(&mut self) -> *mut c_void

fn set_axis(&mut self, val: i32)

fn set_padding(&mut self, val: bool)

Add zero padding in case of concatenation of blobs with different spatial sizes.

fn set_padding_value(&mut self, val: i32)

impl ConcatLayerTraitConst for Ptr<ConcatLayer>

fn as_raw_ConcatLayer(&self) -> *const c_void

fn axis(&self) -> i32

fn padding(&self) -> bool

Add zero padding in case of concatenation of blobs with different spatial sizes.

fn padding_value(&self) -> i32

impl ConjGradSolverTrait for Ptr<ConjGradSolver>

fn as_raw_mut_ConjGradSolver(&mut self) -> *mut c_void

impl ConjGradSolverTraitConst for Ptr<ConjGradSolver>

fn as_raw_ConjGradSolver(&self) -> *const c_void

impl ConstLayerTrait for Ptr<ConstLayer>

fn as_raw_mut_ConstLayer(&mut self) -> *mut c_void

impl ConstLayerTraitConst for Ptr<ConstLayer>

fn as_raw_ConstLayer(&self) -> *const c_void

impl ConvolutionLayerInt8Trait for Ptr<ConvolutionLayerInt8>

fn as_raw_mut_ConvolutionLayerInt8(&mut self) -> *mut c_void

fn set_input_zp(&mut self, val: i32)

fn set_output_zp(&mut self, val: i32)

fn set_output_sc(&mut self, val: f32)

impl ConvolutionLayerInt8TraitConst for Ptr<ConvolutionLayerInt8>

fn as_raw_ConvolutionLayerInt8(&self) -> *const c_void

fn input_zp(&self) -> i32

fn output_zp(&self) -> i32

fn output_sc(&self) -> f32

impl ConvolutionLayerTrait for Ptr<ConvolutionLayer>

fn as_raw_mut_ConvolutionLayer(&mut self) -> *mut c_void

impl ConvolutionLayerTraitConst for Ptr<ConvolutionLayer>

fn as_raw_ConvolutionLayer(&self) -> *const c_void

impl CorrelationLayerTrait for Ptr<CorrelationLayer>

fn as_raw_mut_CorrelationLayer(&mut self) -> *mut c_void

impl CorrelationLayerTraitConst for Ptr<CorrelationLayer>

fn as_raw_CorrelationLayer(&self) -> *const c_void

impl CropAndResizeLayerTrait for Ptr<CropAndResizeLayer>

fn as_raw_mut_CropAndResizeLayer(&mut self) -> *mut c_void

impl CropAndResizeLayerTraitConst for Ptr<CropAndResizeLayer>

fn as_raw_CropAndResizeLayer(&self) -> *const c_void

impl CropLayerTrait for Ptr<CropLayer>

fn as_raw_mut_CropLayer(&mut self) -> *mut c_void

impl CropLayerTraitConst for Ptr<CropLayer>

fn as_raw_CropLayer(&self) -> *const c_void

impl CumSumLayerTrait for Ptr<CumSumLayer>

fn as_raw_mut_CumSumLayer(&mut self) -> *mut c_void

fn set_exclusive(&mut self, val: i32)

fn set_reverse(&mut self, val: i32)

impl CumSumLayerTraitConst for Ptr<CumSumLayer>

fn as_raw_CumSumLayer(&self) -> *const c_void

fn exclusive(&self) -> i32

fn reverse(&self) -> i32

impl DataAugmentationLayerTrait for Ptr<DataAugmentationLayer>

fn as_raw_mut_DataAugmentationLayer(&mut self) -> *mut c_void

impl DataAugmentationLayerTraitConst for Ptr<DataAugmentationLayer>

fn as_raw_DataAugmentationLayer(&self) -> *const c_void

impl Debug for Ptr<AbsLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<AccumLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ActivationLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ActivationLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<Algorithm>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<BNLLLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<BackendNode>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<BackendWrapper>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<BaseConvolutionLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<BatchNormLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<BatchNormLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<BlankLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<CLAHE>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ChannelsPReLULayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ConcatLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ConjGradSolver>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ConstLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ConvolutionLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ConvolutionLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<CorrelationLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<CropAndResizeLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<CropLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<CumSumLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<DataAugmentationLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<DeconvolutionLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<DequantizeLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<DetectionOutputLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<DownhillSolver>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ELULayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<EltwiseLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<EltwiseLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ExpLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<FileStorage>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<FlattenLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<FlowWarpLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<Formatted>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<Formatter>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<GRULayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<GeneralizedHough>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<GeneralizedHoughBallard>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<GeneralizedHoughGuil>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<GpuMat_Allocator>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<InnerProductLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<InnerProductLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<InterpLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<LRNLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<LSTMLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<Layer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<LineSegmentDetector>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<MVNLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<MaxUnpoolLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<MinProblemSolver>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<MinProblemSolver_Function>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<MishLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<NormalizeBBoxLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<PaddingLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<PermuteLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<PoolingLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<PoolingLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<PowerLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<PriorBoxLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ProposalLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<QuantizeLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<RNNLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ReLU6Layer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ReLULayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<RegionLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ReorgLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<RequantizeLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ReshapeLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ResizeLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ScaleLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ScaleLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ShiftLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ShiftLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<ShuffleChannelLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<SigmoidLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<SliceLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<SoftmaxLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<SoftmaxLayerInt8>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<SplitLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<SwishLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<TanHLayer>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Debug for Ptr<f32>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl DeconvolutionLayerTrait for Ptr<DeconvolutionLayer>

fn as_raw_mut_DeconvolutionLayer(&mut self) -> *mut c_void

impl DeconvolutionLayerTraitConst for Ptr<DeconvolutionLayer>

fn as_raw_DeconvolutionLayer(&self) -> *const c_void

impl Default for Ptr<f32>

fn default() -> Self

Returns the “default value” for a type.

impl DequantizeLayerTrait for Ptr<DequantizeLayer>

fn as_raw_mut_DequantizeLayer(&mut self) -> *mut c_void

fn set_scale(&mut self, val: f32)

fn set_zeropoint(&mut self, val: i32)

impl DequantizeLayerTraitConst for Ptr<DequantizeLayer>

fn as_raw_DequantizeLayer(&self) -> *const c_void

fn scale(&self) -> f32

fn zeropoint(&self) -> i32

impl Deref for Ptr<f32>

type Target = f32

The resulting type after dereferencing.

fn deref(&self) -> &Self::Target

Dereferences the value.

impl DerefMut for Ptr<f32>

fn deref_mut(&mut self) -> &mut Self::Target

Mutably dereferences the value.

impl DetectionOutputLayerTrait for Ptr<DetectionOutputLayer>

fn as_raw_mut_DetectionOutputLayer(&mut self) -> *mut c_void

impl DetectionOutputLayerTraitConst for Ptr<DetectionOutputLayer>

fn as_raw_DetectionOutputLayer(&self) -> *const c_void

impl DownhillSolverTrait for Ptr<DownhillSolver>

fn as_raw_mut_DownhillSolver(&mut self) -> *mut c_void

fn set_init_step(&mut self, step: &impl ToInputArray) -> Result<()>

Sets the initial step that will be used in downhill simplex algorithm.

impl DownhillSolverTraitConst for Ptr<DownhillSolver>

fn as_raw_DownhillSolver(&self) -> *const c_void

fn get_init_step(&self, step: &mut impl ToOutputArray) -> Result<()>

Returns the initial step that will be used in downhill simplex algorithm.

impl<T: ?Sized> Drop for Ptr<T>

where Self: PtrExtern,

fn drop(&mut self)

Executes the destructor for this type.

impl ELULayerTrait for Ptr<ELULayer>

fn as_raw_mut_ELULayer(&mut self) -> *mut c_void

impl ELULayerTraitConst for Ptr<ELULayer>

fn as_raw_ELULayer(&self) -> *const c_void

impl EltwiseLayerInt8Trait for Ptr<EltwiseLayerInt8>

fn as_raw_mut_EltwiseLayerInt8(&mut self) -> *mut c_void

impl EltwiseLayerInt8TraitConst for Ptr<EltwiseLayerInt8>

fn as_raw_EltwiseLayerInt8(&self) -> *const c_void

impl EltwiseLayerTrait for Ptr<EltwiseLayer>

fn as_raw_mut_EltwiseLayer(&mut self) -> *mut c_void

impl EltwiseLayerTraitConst for Ptr<EltwiseLayer>

fn as_raw_EltwiseLayer(&self) -> *const c_void

impl ExpLayerTrait for Ptr<ExpLayer>

fn as_raw_mut_ExpLayer(&mut self) -> *mut c_void

fn set_base(&mut self, val: f32)

fn set_scale(&mut self, val: f32)

fn set_shift(&mut self, val: f32)

impl ExpLayerTraitConst for Ptr<ExpLayer>

fn as_raw_ExpLayer(&self) -> *const c_void

fn base(&self) -> f32

fn scale(&self) -> f32

fn shift(&self) -> f32

impl FileStorageTrait for Ptr<FileStorage>

fn as_raw_mut_FileStorage(&mut self) -> *mut c_void

fn set_state(&mut self, val: i32)

fn set_elname(&mut self, val: &str)

fn open(&mut self, filename: &str, flags: i32, encoding: &str) -> Result<bool>

Opens a file.

fn open_def(&mut self, filename: &str, flags: i32) -> Result<bool>

Opens a file.

fn release(&mut self) -> Result<()>

Closes the file and releases all the memory buffers.

fn release_and_get_string(&mut self) -> Result<String>

Closes the file and releases all the memory buffers.

fn write_i32(&mut self, name: &str, val: i32) -> Result<()>

Simplified writing API to use with bindings.

fn write_f64(&mut self, name: &str, val: f64) -> Result<()>

Simplified writing API to use with bindings.

fn write_str(&mut self, name: &str, val: &str) -> Result<()>

Simplified writing API to use with bindings.

fn write_mat(&mut self, name: &str, val: &Mat) -> Result<()>

Simplified writing API to use with bindings.

fn write_str_vec(&mut self, name: &str, val: &Vector<String>) -> Result<()>

Simplified writing API to use with bindings.

unsafe fn write_raw( &mut self, fmt: &str, vec: *const c_void, len: size_t ) -> Result<()>

Writes multiple numbers.

fn write_comment(&mut self, comment: &str, append: bool) -> Result<()>

Writes a comment.

fn write_comment_def(&mut self, comment: &str) -> Result<()>

Writes a comment.

fn start_write_struct( &mut self, name: &str, flags: i32, type_name: &str ) -> Result<()>

Starts to write a nested structure (sequence or a mapping).

fn start_write_struct_def(&mut self, name: &str, flags: i32) -> Result<()>

Starts to write a nested structure (sequence or a mapping).

fn end_write_struct(&mut self) -> Result<()>

Finishes writing nested structure (should pair startWriteStruct())

impl FileStorageTraitConst for Ptr<FileStorage>

fn as_raw_FileStorage(&self) -> *const c_void

fn state(&self) -> i32

fn elname(&self) -> String

fn is_opened(&self) -> Result<bool>

Checks whether the file is opened.

fn get_first_top_level_node(&self) -> Result<FileNode>

Returns the first element of the top-level mapping.

fn root(&self, streamidx: i32) -> Result<FileNode>

Returns the top-level mapping

fn root_def(&self) -> Result<FileNode>

Returns the top-level mapping

fn get(&self, nodename: &str) -> Result<FileNode>

Returns the specified element of the top-level mapping.

fn get_node(&self, nodename: &str) -> Result<FileNode>

Returns the specified element of the top-level mapping.

fn get_format(&self) -> Result<i32>

Returns the current format.

impl FlattenLayerTrait for Ptr<FlattenLayer>

fn as_raw_mut_FlattenLayer(&mut self) -> *mut c_void

impl FlattenLayerTraitConst for Ptr<FlattenLayer>

fn as_raw_FlattenLayer(&self) -> *const c_void

impl FlowWarpLayerTrait for Ptr<FlowWarpLayer>

fn as_raw_mut_FlowWarpLayer(&mut self) -> *mut c_void

impl FlowWarpLayerTraitConst for Ptr<FlowWarpLayer>

fn as_raw_FlowWarpLayer(&self) -> *const c_void

impl FormattedTrait for Ptr<Formatted>

fn as_raw_mut_Formatted(&mut self) -> *mut c_void

fn next(&mut self) -> Result<String>

fn reset(&mut self) -> Result<()>

impl FormattedTraitConst for Ptr<Formatted>

fn as_raw_Formatted(&self) -> *const c_void

impl FormatterTrait for Ptr<Formatter>

fn as_raw_mut_Formatter(&mut self) -> *mut c_void

fn set16f_precision(&mut self, p: i32) -> Result<()>

C++ default parameters

fn set16f_precision_def(&mut self) -> Result<()>

Note

fn set32f_precision(&mut self, p: i32) -> Result<()>

C++ default parameters

fn set32f_precision_def(&mut self) -> Result<()>

Note

fn set64f_precision(&mut self, p: i32) -> Result<()>

C++ default parameters

fn set64f_precision_def(&mut self) -> Result<()>

Note

fn set_multiline(&mut self, ml: bool) -> Result<()>

C++ default parameters

fn set_multiline_def(&mut self) -> Result<()>

Note

impl FormatterTraitConst for Ptr<Formatter>

fn as_raw_Formatter(&self) -> *const c_void

fn format(&self, mtx: &Mat) -> Result<Ptr<Formatted>>

impl From<Ptr<AbsLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfAbsLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<AbsLayer>> for Ptr<Algorithm>

fn from(s: PtrOfAbsLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<AbsLayer>> for Ptr<Layer>

fn from(s: PtrOfAbsLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<AccumLayer>> for Ptr<Algorithm>

fn from(s: PtrOfAccumLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<AccumLayer>> for Ptr<Layer>

fn from(s: PtrOfAccumLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ActivationLayer>> for Ptr<Algorithm>

fn from(s: PtrOfActivationLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ActivationLayer>> for Ptr<Layer>

fn from(s: PtrOfActivationLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ActivationLayerInt8>> for Ptr<ActivationLayer>

fn from(s: PtrOfActivationLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ActivationLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfActivationLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ActivationLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfActivationLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<BNLLLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfBNLLLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BNLLLayer>> for Ptr<Algorithm>

fn from(s: PtrOfBNLLLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BNLLLayer>> for Ptr<Layer>

fn from(s: PtrOfBNLLLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BaseConvolutionLayer>> for Ptr<Algorithm>

fn from(s: PtrOfBaseConvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BaseConvolutionLayer>> for Ptr<Layer>

fn from(s: PtrOfBaseConvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BatchNormLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfBatchNormLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BatchNormLayer>> for Ptr<Algorithm>

fn from(s: PtrOfBatchNormLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BatchNormLayer>> for Ptr<Layer>

fn from(s: PtrOfBatchNormLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BatchNormLayerInt8>> for Ptr<ActivationLayer>

fn from(s: PtrOfBatchNormLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<BatchNormLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfBatchNormLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<BatchNormLayerInt8>> for Ptr<BatchNormLayer>

fn from(s: PtrOfBatchNormLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<BatchNormLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfBatchNormLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<BlankLayer>> for Ptr<Algorithm>

fn from(s: PtrOfBlankLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<BlankLayer>> for Ptr<Layer>

fn from(s: PtrOfBlankLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CLAHE>> for Ptr<Algorithm>

fn from(s: PtrOfCLAHE) -> Self

Converts to this type from the input type.

impl From<Ptr<ChannelsPReLULayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfChannelsPReLULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ChannelsPReLULayer>> for Ptr<Algorithm>

fn from(s: PtrOfChannelsPReLULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ChannelsPReLULayer>> for Ptr<Layer>

fn from(s: PtrOfChannelsPReLULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConcatLayer>> for Ptr<Algorithm>

fn from(s: PtrOfConcatLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConcatLayer>> for Ptr<Layer>

fn from(s: PtrOfConcatLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConjGradSolver>> for Ptr<Algorithm>

fn from(s: PtrOfConjGradSolver) -> Self

Converts to this type from the input type.

impl From<Ptr<ConjGradSolver>> for Ptr<MinProblemSolver>

fn from(s: PtrOfConjGradSolver) -> Self

Converts to this type from the input type.

impl From<Ptr<ConstLayer>> for Ptr<Algorithm>

fn from(s: PtrOfConstLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConstLayer>> for Ptr<Layer>

fn from(s: PtrOfConstLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConvolutionLayer>> for Ptr<Algorithm>

fn from(s: PtrOfConvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConvolutionLayer>> for Ptr<BaseConvolutionLayer>

fn from(s: PtrOfConvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConvolutionLayer>> for Ptr<Layer>

fn from(s: PtrOfConvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ConvolutionLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfConvolutionLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ConvolutionLayerInt8>> for Ptr<BaseConvolutionLayer>

fn from(s: PtrOfConvolutionLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ConvolutionLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfConvolutionLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<CorrelationLayer>> for Ptr<Algorithm>

fn from(s: PtrOfCorrelationLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CorrelationLayer>> for Ptr<Layer>

fn from(s: PtrOfCorrelationLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CropAndResizeLayer>> for Ptr<Algorithm>

fn from(s: PtrOfCropAndResizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CropAndResizeLayer>> for Ptr<Layer>

fn from(s: PtrOfCropAndResizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CropLayer>> for Ptr<Algorithm>

fn from(s: PtrOfCropLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CropLayer>> for Ptr<Layer>

fn from(s: PtrOfCropLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CumSumLayer>> for Ptr<Algorithm>

fn from(s: PtrOfCumSumLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<CumSumLayer>> for Ptr<Layer>

fn from(s: PtrOfCumSumLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DataAugmentationLayer>> for Ptr<Algorithm>

fn from(s: PtrOfDataAugmentationLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DataAugmentationLayer>> for Ptr<Layer>

fn from(s: PtrOfDataAugmentationLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DeconvolutionLayer>> for Ptr<Algorithm>

fn from(s: PtrOfDeconvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DeconvolutionLayer>> for Ptr<BaseConvolutionLayer>

fn from(s: PtrOfDeconvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DeconvolutionLayer>> for Ptr<Layer>

fn from(s: PtrOfDeconvolutionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DequantizeLayer>> for Ptr<Algorithm>

fn from(s: PtrOfDequantizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DequantizeLayer>> for Ptr<Layer>

fn from(s: PtrOfDequantizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DetectionOutputLayer>> for Ptr<Algorithm>

fn from(s: PtrOfDetectionOutputLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DetectionOutputLayer>> for Ptr<Layer>

fn from(s: PtrOfDetectionOutputLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<DownhillSolver>> for Ptr<Algorithm>

fn from(s: PtrOfDownhillSolver) -> Self

Converts to this type from the input type.

impl From<Ptr<DownhillSolver>> for Ptr<MinProblemSolver>

fn from(s: PtrOfDownhillSolver) -> Self

Converts to this type from the input type.

impl From<Ptr<ELULayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfELULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ELULayer>> for Ptr<Algorithm>

fn from(s: PtrOfELULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ELULayer>> for Ptr<Layer>

fn from(s: PtrOfELULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<EltwiseLayer>> for Ptr<Algorithm>

fn from(s: PtrOfEltwiseLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<EltwiseLayer>> for Ptr<Layer>

fn from(s: PtrOfEltwiseLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<EltwiseLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfEltwiseLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<EltwiseLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfEltwiseLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ExpLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfExpLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ExpLayer>> for Ptr<Algorithm>

fn from(s: PtrOfExpLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ExpLayer>> for Ptr<Layer>

fn from(s: PtrOfExpLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<FlattenLayer>> for Ptr<Algorithm>

fn from(s: PtrOfFlattenLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<FlattenLayer>> for Ptr<Layer>

fn from(s: PtrOfFlattenLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<FlowWarpLayer>> for Ptr<Algorithm>

fn from(s: PtrOfFlowWarpLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<FlowWarpLayer>> for Ptr<Layer>

fn from(s: PtrOfFlowWarpLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<GRULayer>> for Ptr<Algorithm>

fn from(s: PtrOfGRULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<GRULayer>> for Ptr<Layer>

fn from(s: PtrOfGRULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<GeneralizedHough>> for Ptr<Algorithm>

fn from(s: PtrOfGeneralizedHough) -> Self

Converts to this type from the input type.

impl From<Ptr<GeneralizedHoughBallard>> for Ptr<Algorithm>

fn from(s: PtrOfGeneralizedHoughBallard) -> Self

Converts to this type from the input type.

impl From<Ptr<GeneralizedHoughBallard>> for Ptr<GeneralizedHough>

fn from(s: PtrOfGeneralizedHoughBallard) -> Self

Converts to this type from the input type.

impl From<Ptr<GeneralizedHoughGuil>> for Ptr<Algorithm>

fn from(s: PtrOfGeneralizedHoughGuil) -> Self

Converts to this type from the input type.

impl From<Ptr<GeneralizedHoughGuil>> for Ptr<GeneralizedHough>

fn from(s: PtrOfGeneralizedHoughGuil) -> Self

Converts to this type from the input type.

impl From<Ptr<InnerProductLayer>> for Ptr<Algorithm>

fn from(s: PtrOfInnerProductLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<InnerProductLayer>> for Ptr<Layer>

fn from(s: PtrOfInnerProductLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<InnerProductLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfInnerProductLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<InnerProductLayerInt8>> for Ptr<InnerProductLayer>

fn from(s: PtrOfInnerProductLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<InnerProductLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfInnerProductLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<InterpLayer>> for Ptr<Algorithm>

fn from(s: PtrOfInterpLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<InterpLayer>> for Ptr<Layer>

fn from(s: PtrOfInterpLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<LRNLayer>> for Ptr<Algorithm>

fn from(s: PtrOfLRNLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<LRNLayer>> for Ptr<Layer>

fn from(s: PtrOfLRNLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<LSTMLayer>> for Ptr<Algorithm>

fn from(s: PtrOfLSTMLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<LSTMLayer>> for Ptr<Layer>

fn from(s: PtrOfLSTMLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<Layer>> for Ptr<Algorithm>

fn from(s: PtrOfLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<LineSegmentDetector>> for Ptr<Algorithm>

fn from(s: PtrOfLineSegmentDetector) -> Self

Converts to this type from the input type.

impl From<Ptr<MVNLayer>> for Ptr<Algorithm>

fn from(s: PtrOfMVNLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<MVNLayer>> for Ptr<Layer>

fn from(s: PtrOfMVNLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<MaxUnpoolLayer>> for Ptr<Algorithm>

fn from(s: PtrOfMaxUnpoolLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<MaxUnpoolLayer>> for Ptr<Layer>

fn from(s: PtrOfMaxUnpoolLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<MinProblemSolver>> for Ptr<Algorithm>

fn from(s: PtrOfMinProblemSolver) -> Self

Converts to this type from the input type.

impl From<Ptr<MishLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfMishLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<MishLayer>> for Ptr<Algorithm>

fn from(s: PtrOfMishLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<MishLayer>> for Ptr<Layer>

fn from(s: PtrOfMishLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<NormalizeBBoxLayer>> for Ptr<Algorithm>

fn from(s: PtrOfNormalizeBBoxLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<NormalizeBBoxLayer>> for Ptr<Layer>

fn from(s: PtrOfNormalizeBBoxLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PaddingLayer>> for Ptr<Algorithm>

fn from(s: PtrOfPaddingLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PaddingLayer>> for Ptr<Layer>

fn from(s: PtrOfPaddingLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PermuteLayer>> for Ptr<Algorithm>

fn from(s: PtrOfPermuteLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PermuteLayer>> for Ptr<Layer>

fn from(s: PtrOfPermuteLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PoolingLayer>> for Ptr<Algorithm>

fn from(s: PtrOfPoolingLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PoolingLayer>> for Ptr<Layer>

fn from(s: PtrOfPoolingLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PoolingLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfPoolingLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<PoolingLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfPoolingLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<PoolingLayerInt8>> for Ptr<PoolingLayer>

fn from(s: PtrOfPoolingLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<PowerLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfPowerLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PowerLayer>> for Ptr<Algorithm>

fn from(s: PtrOfPowerLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PowerLayer>> for Ptr<Layer>

fn from(s: PtrOfPowerLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PriorBoxLayer>> for Ptr<Algorithm>

fn from(s: PtrOfPriorBoxLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<PriorBoxLayer>> for Ptr<Layer>

fn from(s: PtrOfPriorBoxLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ProposalLayer>> for Ptr<Algorithm>

fn from(s: PtrOfProposalLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ProposalLayer>> for Ptr<Layer>

fn from(s: PtrOfProposalLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<QuantizeLayer>> for Ptr<Algorithm>

fn from(s: PtrOfQuantizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<QuantizeLayer>> for Ptr<Layer>

fn from(s: PtrOfQuantizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<RNNLayer>> for Ptr<Algorithm>

fn from(s: PtrOfRNNLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<RNNLayer>> for Ptr<Layer>

fn from(s: PtrOfRNNLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReLU6Layer>> for Ptr<ActivationLayer>

fn from(s: PtrOfReLU6Layer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReLU6Layer>> for Ptr<Algorithm>

fn from(s: PtrOfReLU6Layer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReLU6Layer>> for Ptr<Layer>

fn from(s: PtrOfReLU6Layer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReLULayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfReLULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReLULayer>> for Ptr<Algorithm>

fn from(s: PtrOfReLULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReLULayer>> for Ptr<Layer>

fn from(s: PtrOfReLULayer) -> Self

Converts to this type from the input type.

impl From<Ptr<RegionLayer>> for Ptr<Algorithm>

fn from(s: PtrOfRegionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<RegionLayer>> for Ptr<Layer>

fn from(s: PtrOfRegionLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReorgLayer>> for Ptr<Algorithm>

fn from(s: PtrOfReorgLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReorgLayer>> for Ptr<Layer>

fn from(s: PtrOfReorgLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<RequantizeLayer>> for Ptr<Algorithm>

fn from(s: PtrOfRequantizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<RequantizeLayer>> for Ptr<Layer>

fn from(s: PtrOfRequantizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReshapeLayer>> for Ptr<Algorithm>

fn from(s: PtrOfReshapeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ReshapeLayer>> for Ptr<Layer>

fn from(s: PtrOfReshapeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ResizeLayer>> for Ptr<Algorithm>

fn from(s: PtrOfResizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ResizeLayer>> for Ptr<Layer>

fn from(s: PtrOfResizeLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ScaleLayer>> for Ptr<Algorithm>

fn from(s: PtrOfScaleLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ScaleLayer>> for Ptr<Layer>

fn from(s: PtrOfScaleLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ScaleLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfScaleLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ScaleLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfScaleLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ScaleLayerInt8>> for Ptr<ScaleLayer>

fn from(s: PtrOfScaleLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ShiftLayer>> for Ptr<Algorithm>

fn from(s: PtrOfShiftLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ShiftLayer>> for Ptr<Layer>

fn from(s: PtrOfShiftLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ShiftLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfShiftLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ShiftLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfShiftLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<ShuffleChannelLayer>> for Ptr<Algorithm>

fn from(s: PtrOfShuffleChannelLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<ShuffleChannelLayer>> for Ptr<Layer>

fn from(s: PtrOfShuffleChannelLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SigmoidLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfSigmoidLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SigmoidLayer>> for Ptr<Algorithm>

fn from(s: PtrOfSigmoidLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SigmoidLayer>> for Ptr<Layer>

fn from(s: PtrOfSigmoidLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SliceLayer>> for Ptr<Algorithm>

fn from(s: PtrOfSliceLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SliceLayer>> for Ptr<Layer>

fn from(s: PtrOfSliceLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SoftmaxLayer>> for Ptr<Algorithm>

fn from(s: PtrOfSoftmaxLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SoftmaxLayer>> for Ptr<Layer>

fn from(s: PtrOfSoftmaxLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SoftmaxLayerInt8>> for Ptr<Algorithm>

fn from(s: PtrOfSoftmaxLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<SoftmaxLayerInt8>> for Ptr<Layer>

fn from(s: PtrOfSoftmaxLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<SoftmaxLayerInt8>> for Ptr<SoftmaxLayer>

fn from(s: PtrOfSoftmaxLayerInt8) -> Self

Converts to this type from the input type.

impl From<Ptr<SplitLayer>> for Ptr<Algorithm>

fn from(s: PtrOfSplitLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SplitLayer>> for Ptr<Layer>

fn from(s: PtrOfSplitLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SwishLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfSwishLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SwishLayer>> for Ptr<Algorithm>

fn from(s: PtrOfSwishLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<SwishLayer>> for Ptr<Layer>

fn from(s: PtrOfSwishLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<TanHLayer>> for Ptr<ActivationLayer>

fn from(s: PtrOfTanHLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<TanHLayer>> for Ptr<Algorithm>

fn from(s: PtrOfTanHLayer) -> Self

Converts to this type from the input type.

impl From<Ptr<TanHLayer>> for Ptr<Layer>

fn from(s: PtrOfTanHLayer) -> Self

Converts to this type from the input type.

impl GRULayerTrait for Ptr<GRULayer>

fn as_raw_mut_GRULayer(&mut self) -> *mut c_void

impl GRULayerTraitConst for Ptr<GRULayer>

fn as_raw_GRULayer(&self) -> *const c_void

impl GeneralizedHoughBallardTrait for Ptr<GeneralizedHoughBallard>

fn as_raw_mut_GeneralizedHoughBallard(&mut self) -> *mut c_void

fn set_levels(&mut self, levels: i32) -> Result<()>

R-Table levels.

fn set_votes_threshold(&mut self, votes_threshold: i32) -> Result<()>

The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected.

impl GeneralizedHoughBallardTraitConst for Ptr<GeneralizedHoughBallard>

fn as_raw_GeneralizedHoughBallard(&self) -> *const c_void

fn get_levels(&self) -> Result<i32>

fn get_votes_threshold(&self) -> Result<i32>

impl GeneralizedHoughGuilTrait for Ptr<GeneralizedHoughGuil>

fn as_raw_mut_GeneralizedHoughGuil(&mut self) -> *mut c_void

fn set_xi(&mut self, xi: f64) -> Result<()>

Angle difference in degrees between two points in feature.

fn set_levels(&mut self, levels: i32) -> Result<()>

Feature table levels.

fn set_angle_epsilon(&mut self, angle_epsilon: f64) -> Result<()>

Maximal difference between angles that treated as equal.

fn set_min_angle(&mut self, min_angle: f64) -> Result<()>

Minimal rotation angle to detect in degrees.

fn set_max_angle(&mut self, max_angle: f64) -> Result<()>

Maximal rotation angle to detect in degrees.

fn set_angle_step(&mut self, angle_step: f64) -> Result<()>

Angle step in degrees.

fn set_angle_thresh(&mut self, angle_thresh: i32) -> Result<()>

Angle votes threshold.

fn set_min_scale(&mut self, min_scale: f64) -> Result<()>

Minimal scale to detect.

fn set_max_scale(&mut self, max_scale: f64) -> Result<()>

Maximal scale to detect.

fn set_scale_step(&mut self, scale_step: f64) -> Result<()>

Scale step.

fn set_scale_thresh(&mut self, scale_thresh: i32) -> Result<()>

Scale votes threshold.

fn set_pos_thresh(&mut self, pos_thresh: i32) -> Result<()>

Position votes threshold.

impl GeneralizedHoughGuilTraitConst for Ptr<GeneralizedHoughGuil>

fn as_raw_GeneralizedHoughGuil(&self) -> *const c_void

fn get_xi(&self) -> Result<f64>

fn get_levels(&self) -> Result<i32>

fn get_angle_epsilon(&self) -> Result<f64>

fn get_min_angle(&self) -> Result<f64>

fn get_max_angle(&self) -> Result<f64>

fn get_angle_step(&self) -> Result<f64>

fn get_angle_thresh(&self) -> Result<i32>

fn get_min_scale(&self) -> Result<f64>

fn get_max_scale(&self) -> Result<f64>

fn get_scale_step(&self) -> Result<f64>

fn get_scale_thresh(&self) -> Result<i32>

fn get_pos_thresh(&self) -> Result<i32>

impl GeneralizedHoughTrait for Ptr<GeneralizedHough>

fn as_raw_mut_GeneralizedHough(&mut self) -> *mut c_void

fn set_template( &mut self, templ: &impl ToInputArray, templ_center: Point ) -> Result<()>

set template to search

fn set_template_def(&mut self, templ: &impl ToInputArray) -> Result<()>

set template to search

fn set_template_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, templ_center: Point ) -> Result<()>

C++ default parameters

fn set_template_def_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray ) -> Result<()>

Note

fn detect( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_def( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_with_edges( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

C++ default parameters

fn detect_with_edges_def( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

Note

fn set_canny_low_thresh(&mut self, canny_low_thresh: i32) -> Result<()>

Canny low threshold.

fn set_canny_high_thresh(&mut self, canny_high_thresh: i32) -> Result<()>

Canny high threshold.

fn set_min_dist(&mut self, min_dist: f64) -> Result<()>

Minimum distance between the centers of the detected objects.

fn set_dp(&mut self, dp: f64) -> Result<()>

Inverse ratio of the accumulator resolution to the image resolution.

fn set_max_buffer_size(&mut self, max_buffer_size: i32) -> Result<()>

Maximal size of inner buffers.

impl GeneralizedHoughTrait for Ptr<GeneralizedHoughBallard>

fn as_raw_mut_GeneralizedHough(&mut self) -> *mut c_void

fn set_template( &mut self, templ: &impl ToInputArray, templ_center: Point ) -> Result<()>

set template to search

fn set_template_def(&mut self, templ: &impl ToInputArray) -> Result<()>

set template to search

fn set_template_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, templ_center: Point ) -> Result<()>

C++ default parameters

fn set_template_def_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray ) -> Result<()>

Note

fn detect( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_def( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_with_edges( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

C++ default parameters

fn detect_with_edges_def( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

Note

fn set_canny_low_thresh(&mut self, canny_low_thresh: i32) -> Result<()>

Canny low threshold.

fn set_canny_high_thresh(&mut self, canny_high_thresh: i32) -> Result<()>

Canny high threshold.

fn set_min_dist(&mut self, min_dist: f64) -> Result<()>

Minimum distance between the centers of the detected objects.

fn set_dp(&mut self, dp: f64) -> Result<()>

Inverse ratio of the accumulator resolution to the image resolution.

fn set_max_buffer_size(&mut self, max_buffer_size: i32) -> Result<()>

Maximal size of inner buffers.

impl GeneralizedHoughTrait for Ptr<GeneralizedHoughGuil>

fn as_raw_mut_GeneralizedHough(&mut self) -> *mut c_void

fn set_template( &mut self, templ: &impl ToInputArray, templ_center: Point ) -> Result<()>

set template to search

fn set_template_def(&mut self, templ: &impl ToInputArray) -> Result<()>

set template to search

fn set_template_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, templ_center: Point ) -> Result<()>

C++ default parameters

fn set_template_def_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray ) -> Result<()>

Note

fn detect( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_def( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

find template on image

fn detect_with_edges( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray ) -> Result<()>

C++ default parameters

fn detect_with_edges_def( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray ) -> Result<()>

Note

fn set_canny_low_thresh(&mut self, canny_low_thresh: i32) -> Result<()>

Canny low threshold.

fn set_canny_high_thresh(&mut self, canny_high_thresh: i32) -> Result<()>

Canny high threshold.

fn set_min_dist(&mut self, min_dist: f64) -> Result<()>

Minimum distance between the centers of the detected objects.

fn set_dp(&mut self, dp: f64) -> Result<()>

Inverse ratio of the accumulator resolution to the image resolution.

fn set_max_buffer_size(&mut self, max_buffer_size: i32) -> Result<()>

Maximal size of inner buffers.

impl GeneralizedHoughTraitConst for Ptr<GeneralizedHough>

fn as_raw_GeneralizedHough(&self) -> *const c_void

fn get_canny_low_thresh(&self) -> Result<i32>

fn get_canny_high_thresh(&self) -> Result<i32>

fn get_min_dist(&self) -> Result<f64>

fn get_dp(&self) -> Result<f64>

fn get_max_buffer_size(&self) -> Result<i32>

impl GeneralizedHoughTraitConst for Ptr<GeneralizedHoughBallard>

fn as_raw_GeneralizedHough(&self) -> *const c_void

fn get_canny_low_thresh(&self) -> Result<i32>

fn get_canny_high_thresh(&self) -> Result<i32>

fn get_min_dist(&self) -> Result<f64>

fn get_dp(&self) -> Result<f64>

fn get_max_buffer_size(&self) -> Result<i32>

impl GeneralizedHoughTraitConst for Ptr<GeneralizedHoughGuil>

fn as_raw_GeneralizedHough(&self) -> *const c_void

fn get_canny_low_thresh(&self) -> Result<i32>

fn get_canny_high_thresh(&self) -> Result<i32>

fn get_min_dist(&self) -> Result<f64>

fn get_dp(&self) -> Result<f64>

fn get_max_buffer_size(&self) -> Result<i32>

impl GpuMat_AllocatorTrait for Ptr<GpuMat_Allocator>

fn as_raw_mut_GpuMat_Allocator(&mut self) -> *mut c_void

fn allocate( &mut self, mat: &mut GpuMat, rows: i32, cols: i32, elem_size: size_t ) -> Result<bool>

fn free(&mut self, mat: &mut GpuMat) -> Result<()>

impl GpuMat_AllocatorTraitConst for Ptr<GpuMat_Allocator>

fn as_raw_GpuMat_Allocator(&self) -> *const c_void

impl InnerProductLayerInt8Trait for Ptr<InnerProductLayerInt8>

fn as_raw_mut_InnerProductLayerInt8(&mut self) -> *mut c_void

fn set_output_zp(&mut self, val: i32)

impl InnerProductLayerInt8TraitConst for Ptr<InnerProductLayerInt8>

fn as_raw_InnerProductLayerInt8(&self) -> *const c_void

fn output_zp(&self) -> i32

impl InnerProductLayerTrait for Ptr<InnerProductLayer>

fn as_raw_mut_InnerProductLayer(&mut self) -> *mut c_void

fn set_axis(&mut self, val: i32)

impl InnerProductLayerTrait for Ptr<InnerProductLayerInt8>

fn as_raw_mut_InnerProductLayer(&mut self) -> *mut c_void

fn set_axis(&mut self, val: i32)

impl InnerProductLayerTraitConst for Ptr<InnerProductLayer>

fn as_raw_InnerProductLayer(&self) -> *const c_void

fn axis(&self) -> i32

impl InnerProductLayerTraitConst for Ptr<InnerProductLayerInt8>

fn as_raw_InnerProductLayer(&self) -> *const c_void

fn axis(&self) -> i32

impl InterpLayerTrait for Ptr<InterpLayer>

fn as_raw_mut_InterpLayer(&mut self) -> *mut c_void

impl InterpLayerTraitConst for Ptr<InterpLayer>

fn as_raw_InterpLayer(&self) -> *const c_void

impl LRNLayerTrait for Ptr<LRNLayer>

fn as_raw_mut_LRNLayer(&mut self) -> *mut c_void

fn set_type(&mut self, val: i32)

fn set_size(&mut self, val: i32)

fn set_alpha(&mut self, val: f32)

fn set_beta(&mut self, val: f32)

fn set_bias(&mut self, val: f32)

fn set_norm_by_size(&mut self, val: bool)

impl LRNLayerTraitConst for Ptr<LRNLayer>

fn as_raw_LRNLayer(&self) -> *const c_void

fn typ(&self) -> i32

fn size(&self) -> i32

fn alpha(&self) -> f32

fn beta(&self) -> f32

fn bias(&self) -> f32

fn norm_by_size(&self) -> bool

impl LSTMLayerTrait for Ptr<LSTMLayer>

fn as_raw_mut_LSTMLayer(&mut self) -> *mut c_void

fn set_weights(&mut self, wh: &Mat, wx: &Mat, b: &Mat) -> Result<()>

👎Deprecated: Use LayerParams::blobs instead.

Deprecated: Use LayerParams::blobs instead. Set trained weights for LSTM layer.

fn set_out_shape(&mut self, out_tail_shape: &MatShape) -> Result<()>

Specifies shape of output blob which will be [[T], N] + @p outTailShape. @details If this parameter is empty or unset then @p outTailShape = [Wh.size(0)] will be used, where Wh is parameter from setWeights().

fn set_out_shape_def(&mut self) -> Result<()>

Specifies shape of output blob which will be [[T], N] + @p outTailShape. @details If this parameter is empty or unset then @p outTailShape = [Wh.size(0)] will be used, where Wh is parameter from setWeights().

fn set_use_timstamps_dim(&mut self, use_: bool) -> Result<()>

👎Deprecated: Use flag produce_cell_output in LayerParams.

Deprecated: Use flag produce_cell_output in LayerParams. Specifies either interpret first dimension of input blob as timestamp dimension either as sample.

fn set_use_timstamps_dim_def(&mut self) -> Result<()>

👎Deprecated: Use flag produce_cell_output in LayerParams.

Deprecated: Use flag produce_cell_output in LayerParams. Specifies either interpret first dimension of input blob as timestamp dimension either as sample.

fn set_produce_cell_output(&mut self, produce: bool) -> Result<()>

👎Deprecated: Use flag use_timestamp_dim in LayerParams.

Deprecated: Use flag use_timestamp_dim in LayerParams. If this flag is set to true then layer will produce @f$ c_t @f$ as second output. @details Shape of the second output is the same as first output.

fn set_produce_cell_output_def(&mut self) -> Result<()>

👎Deprecated: Use flag use_timestamp_dim in LayerParams.

Deprecated: Use flag use_timestamp_dim in LayerParams. If this flag is set to true then layer will produce @f$ c_t @f$ as second output. @details Shape of the second output is the same as first output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

impl LSTMLayerTraitConst for Ptr<LSTMLayer>

fn as_raw_LSTMLayer(&self) -> *const c_void

impl LayerTrait for Ptr<AbsLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<AccumLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ActivationLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ActivationLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<BNLLLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<BaseConvolutionLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<BatchNormLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<BatchNormLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<BlankLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ChannelsPReLULayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ConcatLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ConstLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ConvolutionLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ConvolutionLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<CorrelationLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<CropAndResizeLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<CropLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<CumSumLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<DataAugmentationLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<DeconvolutionLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<DequantizeLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<DetectionOutputLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ELULayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<EltwiseLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<EltwiseLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ExpLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<FlattenLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<FlowWarpLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<GRULayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<InnerProductLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<InnerProductLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<InterpLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<LRNLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<LSTMLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<Layer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<MVNLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<MaxUnpoolLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<MishLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<NormalizeBBoxLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<PaddingLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<PermuteLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<PoolingLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<PoolingLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<PowerLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<PriorBoxLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ProposalLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<QuantizeLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<RNNLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ReLU6Layer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ReLULayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<RegionLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ReorgLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<RequantizeLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ReshapeLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ResizeLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ScaleLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ScaleLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ShiftLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ShiftLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<ShuffleChannelLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<SigmoidLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<SliceLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<SoftmaxLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<SoftmaxLayerInt8>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<SplitLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<SwishLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTrait for Ptr<TanHLayer>

fn as_raw_mut_Layer(&mut self) -> *mut c_void

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut LayerParams ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat> ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_inf_engine( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>> ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>> ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Deattaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl LayerTraitConst for Ptr<AbsLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<AccumLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ActivationLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ActivationLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<BNLLLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<BaseConvolutionLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<BatchNormLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<BatchNormLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<BlankLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ChannelsPReLULayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ConcatLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ConstLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ConvolutionLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ConvolutionLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<CorrelationLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<CropAndResizeLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<CropLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<CumSumLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<DataAugmentationLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<DeconvolutionLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<DequantizeLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<DetectionOutputLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ELULayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<EltwiseLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<EltwiseLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ExpLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<FlattenLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<FlowWarpLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<GRULayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<InnerProductLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<InnerProductLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<InterpLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<LRNLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<LSTMLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<Layer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<MVNLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<MaxUnpoolLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<MishLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<NormalizeBBoxLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<PaddingLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<PermuteLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<PoolingLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<PoolingLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<PowerLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<PriorBoxLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ProposalLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<QuantizeLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<RNNLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ReLU6Layer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ReLULayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<RegionLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ReorgLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<RequantizeLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ReshapeLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ResizeLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ScaleLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ScaleLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ShiftLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ShiftLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<ShuffleChannelLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<SigmoidLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<SliceLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<SoftmaxLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<SoftmaxLayerInt8>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<SplitLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<SwishLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LayerTraitConst for Ptr<TanHLayer>

fn as_raw_Layer(&self) -> *const c_void

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32 ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32 ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape> ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape> ) -> Result<i64>

impl LineSegmentDetectorTrait for Ptr<LineSegmentDetector>

fn as_raw_mut_LineSegmentDetector(&mut self) -> *mut c_void

fn detect( &mut self, image: &impl ToInputArray, lines: &mut impl ToOutputArray, width: &mut impl ToOutputArray, prec: &mut impl ToOutputArray, nfa: &mut impl ToOutputArray ) -> Result<()>

Finds lines in the input image.

fn detect_def( &mut self, image: &impl ToInputArray, lines: &mut impl ToOutputArray ) -> Result<()>

Finds lines in the input image.

fn draw_segments( &mut self, image: &mut impl ToInputOutputArray, lines: &impl ToInputArray ) -> Result<()>

Draws the line segments on a given image.

fn compare_segments( &mut self, size: Size, lines1: &impl ToInputArray, lines2: &impl ToInputArray, image: &mut impl ToInputOutputArray ) -> Result<i32>

Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.

fn compare_segments_def( &mut self, size: Size, lines1: &impl ToInputArray, lines2: &impl ToInputArray ) -> Result<i32>

Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.

impl LineSegmentDetectorTraitConst for Ptr<LineSegmentDetector>

fn as_raw_LineSegmentDetector(&self) -> *const c_void

impl MVNLayerTrait for Ptr<MVNLayer>

fn as_raw_mut_MVNLayer(&mut self) -> *mut c_void

fn set_eps(&mut self, val: f32)

fn set_norm_variance(&mut self, val: bool)

fn set_across_channels(&mut self, val: bool)

impl MVNLayerTraitConst for Ptr<MVNLayer>

fn as_raw_MVNLayer(&self) -> *const c_void

fn eps(&self) -> f32

fn norm_variance(&self) -> bool

fn across_channels(&self) -> bool

impl MaxUnpoolLayerTrait for Ptr<MaxUnpoolLayer>

fn as_raw_mut_MaxUnpoolLayer(&mut self) -> *mut c_void

fn set_pool_kernel(&mut self, val: Size)

fn set_pool_pad(&mut self, val: Size)

fn set_pool_stride(&mut self, val: Size)

impl MaxUnpoolLayerTraitConst for Ptr<MaxUnpoolLayer>

fn as_raw_MaxUnpoolLayer(&self) -> *const c_void

fn pool_kernel(&self) -> Size

fn pool_pad(&self) -> Size

fn pool_stride(&self) -> Size

impl MinProblemSolverTrait for Ptr<ConjGradSolver>

fn as_raw_mut_MinProblemSolver(&mut self) -> *mut c_void

fn set_function(&mut self, f: &Ptr<MinProblemSolver_Function>) -> Result<()>

Setter for the optimized function.

fn set_term_criteria(&mut self, termcrit: TermCriteria) -> Result<()>

Set terminal criteria for solver.

fn minimize(&mut self, x: &mut impl ToInputOutputArray) -> Result<f64>

actually runs the algorithm and performs the minimization.

impl MinProblemSolverTrait for Ptr<DownhillSolver>

fn as_raw_mut_MinProblemSolver(&mut self) -> *mut c_void

fn set_function(&mut self, f: &Ptr<MinProblemSolver_Function>) -> Result<()>

Setter for the optimized function.

fn set_term_criteria(&mut self, termcrit: TermCriteria) -> Result<()>

Set terminal criteria for solver.

fn minimize(&mut self, x: &mut impl ToInputOutputArray) -> Result<f64>

actually runs the algorithm and performs the minimization.

impl MinProblemSolverTrait for Ptr<MinProblemSolver>

fn as_raw_mut_MinProblemSolver(&mut self) -> *mut c_void

fn set_function(&mut self, f: &Ptr<MinProblemSolver_Function>) -> Result<()>

Setter for the optimized function.

fn set_term_criteria(&mut self, termcrit: TermCriteria) -> Result<()>

Set terminal criteria for solver.

fn minimize(&mut self, x: &mut impl ToInputOutputArray) -> Result<f64>

actually runs the algorithm and performs the minimization.

impl MinProblemSolverTraitConst for Ptr<ConjGradSolver>

fn as_raw_MinProblemSolver(&self) -> *const c_void

fn get_function(&self) -> Result<Ptr<MinProblemSolver_Function>>

Getter for the optimized function.

fn get_term_criteria(&self) -> Result<TermCriteria>

Getter for the previously set terminal criteria for this algorithm.

impl MinProblemSolverTraitConst for Ptr<DownhillSolver>

fn as_raw_MinProblemSolver(&self) -> *const c_void

fn get_function(&self) -> Result<Ptr<MinProblemSolver_Function>>

Getter for the optimized function.

fn get_term_criteria(&self) -> Result<TermCriteria>

Getter for the previously set terminal criteria for this algorithm.

impl MinProblemSolverTraitConst for Ptr<MinProblemSolver>

fn as_raw_MinProblemSolver(&self) -> *const c_void

fn get_function(&self) -> Result<Ptr<MinProblemSolver_Function>>

Getter for the optimized function.

fn get_term_criteria(&self) -> Result<TermCriteria>

Getter for the previously set terminal criteria for this algorithm.

impl MinProblemSolver_FunctionTrait for Ptr<MinProblemSolver_Function>

fn as_raw_mut_MinProblemSolver_Function(&mut self) -> *mut c_void

fn get_gradient(&mut self, x: &f64, grad: &mut f64) -> Result<()>

impl MinProblemSolver_FunctionTraitConst for Ptr<MinProblemSolver_Function>

fn as_raw_MinProblemSolver_Function(&self) -> *const c_void

fn get_dims(&self) -> Result<i32>

fn get_gradient_eps(&self) -> Result<f64>

fn calc(&self, x: &f64) -> Result<f64>

impl MishLayerTrait for Ptr<MishLayer>

fn as_raw_mut_MishLayer(&mut self) -> *mut c_void

impl MishLayerTraitConst for Ptr<MishLayer>

fn as_raw_MishLayer(&self) -> *const c_void

impl NormalizeBBoxLayerTrait for Ptr<NormalizeBBoxLayer>

fn as_raw_mut_NormalizeBBoxLayer(&mut self) -> *mut c_void

fn set_pnorm(&mut self, val: f32)

fn set_epsilon(&mut self, val: f32)

fn set_across_spatial(&mut self, val: bool)

impl NormalizeBBoxLayerTraitConst for Ptr<NormalizeBBoxLayer>

fn as_raw_NormalizeBBoxLayer(&self) -> *const c_void

fn pnorm(&self) -> f32

fn epsilon(&self) -> f32

fn across_spatial(&self) -> bool

impl PaddingLayerTrait for Ptr<PaddingLayer>

fn as_raw_mut_PaddingLayer(&mut self) -> *mut c_void

impl PaddingLayerTraitConst for Ptr<PaddingLayer>

fn as_raw_PaddingLayer(&self) -> *const c_void

impl PermuteLayerTrait for Ptr<PermuteLayer>

fn as_raw_mut_PermuteLayer(&mut self) -> *mut c_void

impl PermuteLayerTraitConst for Ptr<PermuteLayer>

fn as_raw_PermuteLayer(&self) -> *const c_void

impl PoolingLayerInt8Trait for Ptr<PoolingLayerInt8>

fn as_raw_mut_PoolingLayerInt8(&mut self) -> *mut c_void

fn set_input_zp(&mut self, val: i32)

fn set_output_zp(&mut self, val: i32)

impl PoolingLayerInt8TraitConst for Ptr<PoolingLayerInt8>

fn as_raw_PoolingLayerInt8(&self) -> *const c_void

fn input_zp(&self) -> i32

fn output_zp(&self) -> i32

impl PoolingLayerTrait for Ptr<PoolingLayer>

fn as_raw_mut_PoolingLayer(&mut self) -> *mut c_void

fn set_type(&mut self, val: i32)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_global_pooling(&mut self, val: bool)

Flag is true if at least one of the axes is global pooled.

fn set_is_global_pooling(&mut self, val: Vector<bool>)

fn set_compute_max_idx(&mut self, val: bool)

fn set_pad_mode(&mut self, val: &str)

fn set_ceil_mode(&mut self, val: bool)

fn set_ave_pool_padded_area(&mut self, val: bool)

fn set_pooled_size(&mut self, val: Size)

fn set_spatial_scale(&mut self, val: f32)

fn set_ps_roi_out_channels(&mut self, val: i32)

impl PoolingLayerTrait for Ptr<PoolingLayerInt8>

fn as_raw_mut_PoolingLayer(&mut self) -> *mut c_void

fn set_type(&mut self, val: i32)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_global_pooling(&mut self, val: bool)

Flag is true if at least one of the axes is global pooled.

fn set_is_global_pooling(&mut self, val: Vector<bool>)

fn set_compute_max_idx(&mut self, val: bool)

fn set_pad_mode(&mut self, val: &str)

fn set_ceil_mode(&mut self, val: bool)

fn set_ave_pool_padded_area(&mut self, val: bool)

fn set_pooled_size(&mut self, val: Size)

fn set_spatial_scale(&mut self, val: f32)

fn set_ps_roi_out_channels(&mut self, val: i32)

impl PoolingLayerTraitConst for Ptr<PoolingLayer>

fn as_raw_PoolingLayer(&self) -> *const c_void

fn typ(&self) -> i32

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn global_pooling(&self) -> bool

Flag is true if at least one of the axes is global pooled.

fn is_global_pooling(&self) -> Vector<bool>

fn compute_max_idx(&self) -> bool

fn pad_mode(&self) -> String

fn ceil_mode(&self) -> bool

fn ave_pool_padded_area(&self) -> bool

fn pooled_size(&self) -> Size

fn spatial_scale(&self) -> f32

fn ps_roi_out_channels(&self) -> i32

impl PoolingLayerTraitConst for Ptr<PoolingLayerInt8>

fn as_raw_PoolingLayer(&self) -> *const c_void

fn typ(&self) -> i32

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn global_pooling(&self) -> bool

Flag is true if at least one of the axes is global pooled.

fn is_global_pooling(&self) -> Vector<bool>

fn compute_max_idx(&self) -> bool

fn pad_mode(&self) -> String

fn ceil_mode(&self) -> bool

fn ave_pool_padded_area(&self) -> bool

fn pooled_size(&self) -> Size

fn spatial_scale(&self) -> f32

fn ps_roi_out_channels(&self) -> i32

impl PowerLayerTrait for Ptr<PowerLayer>

fn as_raw_mut_PowerLayer(&mut self) -> *mut c_void

fn set_power(&mut self, val: f32)

fn set_scale(&mut self, val: f32)

fn set_shift(&mut self, val: f32)

impl PowerLayerTraitConst for Ptr<PowerLayer>

fn as_raw_PowerLayer(&self) -> *const c_void

fn power(&self) -> f32

fn scale(&self) -> f32

fn shift(&self) -> f32

impl PriorBoxLayerTrait for Ptr<PriorBoxLayer>

fn as_raw_mut_PriorBoxLayer(&mut self) -> *mut c_void

impl PriorBoxLayerTraitConst for Ptr<PriorBoxLayer>

fn as_raw_PriorBoxLayer(&self) -> *const c_void

impl ProposalLayerTrait for Ptr<ProposalLayer>

fn as_raw_mut_ProposalLayer(&mut self) -> *mut c_void

impl ProposalLayerTraitConst for Ptr<ProposalLayer>

fn as_raw_ProposalLayer(&self) -> *const c_void

impl QuantizeLayerTrait for Ptr<QuantizeLayer>

fn as_raw_mut_QuantizeLayer(&mut self) -> *mut c_void

fn set_scale(&mut self, val: f32)

fn set_zeropoint(&mut self, val: i32)

impl QuantizeLayerTraitConst for Ptr<QuantizeLayer>

fn as_raw_QuantizeLayer(&self) -> *const c_void

fn scale(&self) -> f32

fn zeropoint(&self) -> i32

impl RNNLayerTrait for Ptr<RNNLayer>

fn as_raw_mut_RNNLayer(&mut self) -> *mut c_void

fn set_weights( &mut self, wxh: &Mat, bh: &Mat, whh: &Mat, who: &Mat, bo: &Mat ) -> Result<()>

Setups learned weights.

fn set_produce_hidden_output(&mut self, produce: bool) -> Result<()>

If this flag is set to true then layer will produce @f$ h_t @f$ as second output. @details Shape of the second output is the same as first output.

fn set_produce_hidden_output_def(&mut self) -> Result<()>

If this flag is set to true then layer will produce @f$ h_t @f$ as second output. @details Shape of the second output is the same as first output.

impl RNNLayerTraitConst for Ptr<RNNLayer>

fn as_raw_RNNLayer(&self) -> *const c_void

impl ReLU6LayerTrait for Ptr<ReLU6Layer>

fn as_raw_mut_ReLU6Layer(&mut self) -> *mut c_void

fn set_min_value(&mut self, val: f32)

fn set_max_value(&mut self, val: f32)

impl ReLU6LayerTraitConst for Ptr<ReLU6Layer>

fn as_raw_ReLU6Layer(&self) -> *const c_void

fn min_value(&self) -> f32

fn max_value(&self) -> f32

impl ReLULayerTrait for Ptr<ReLULayer>

fn as_raw_mut_ReLULayer(&mut self) -> *mut c_void

fn set_negative_slope(&mut self, val: f32)

impl ReLULayerTraitConst for Ptr<ReLULayer>

fn as_raw_ReLULayer(&self) -> *const c_void

fn negative_slope(&self) -> f32

impl RegionLayerTrait for Ptr<RegionLayer>

fn as_raw_mut_RegionLayer(&mut self) -> *mut c_void

fn set_nms_threshold(&mut self, val: f32)

impl RegionLayerTraitConst for Ptr<RegionLayer>

fn as_raw_RegionLayer(&self) -> *const c_void

fn nms_threshold(&self) -> f32

impl ReorgLayerTrait for Ptr<ReorgLayer>

fn as_raw_mut_ReorgLayer(&mut self) -> *mut c_void

impl ReorgLayerTraitConst for Ptr<ReorgLayer>

fn as_raw_ReorgLayer(&self) -> *const c_void

impl RequantizeLayerTrait for Ptr<RequantizeLayer>

fn as_raw_mut_RequantizeLayer(&mut self) -> *mut c_void

fn set_scale(&mut self, val: f32)

fn set_shift(&mut self, val: f32)

impl RequantizeLayerTraitConst for Ptr<RequantizeLayer>

fn as_raw_RequantizeLayer(&self) -> *const c_void

fn scale(&self) -> f32

fn shift(&self) -> f32

impl ReshapeLayerTrait for Ptr<ReshapeLayer>

fn as_raw_mut_ReshapeLayer(&mut self) -> *mut c_void

fn set_new_shape_desc(&mut self, val: MatShape)

fn set_new_shape_range(&mut self, val: Range)

impl ReshapeLayerTraitConst for Ptr<ReshapeLayer>

fn as_raw_ReshapeLayer(&self) -> *const c_void

fn new_shape_desc(&self) -> Vector<i32>

fn new_shape_range(&self) -> Range

impl ResizeLayerTrait for Ptr<ResizeLayer>

fn as_raw_mut_ResizeLayer(&mut self) -> *mut c_void

impl ResizeLayerTraitConst for Ptr<ResizeLayer>

fn as_raw_ResizeLayer(&self) -> *const c_void

impl ScaleLayerInt8Trait for Ptr<ScaleLayerInt8>

fn as_raw_mut_ScaleLayerInt8(&mut self) -> *mut c_void

fn set_output_sc(&mut self, val: f32)

fn set_output_zp(&mut self, val: i32)

impl ScaleLayerInt8TraitConst for Ptr<ScaleLayerInt8>

fn as_raw_ScaleLayerInt8(&self) -> *const c_void

fn output_sc(&self) -> f32

fn output_zp(&self) -> i32

impl ScaleLayerTrait for Ptr<ScaleLayer>

fn as_raw_mut_ScaleLayer(&mut self) -> *mut c_void

fn set_has_bias(&mut self, val: bool)

fn set_axis(&mut self, val: i32)

impl ScaleLayerTrait for Ptr<ScaleLayerInt8>

fn as_raw_mut_ScaleLayer(&mut self) -> *mut c_void

fn set_has_bias(&mut self, val: bool)

fn set_axis(&mut self, val: i32)

impl ScaleLayerTraitConst for Ptr<ScaleLayer>

fn as_raw_ScaleLayer(&self) -> *const c_void

fn has_bias(&self) -> bool

fn axis(&self) -> i32

impl ScaleLayerTraitConst for Ptr<ScaleLayerInt8>

fn as_raw_ScaleLayer(&self) -> *const c_void

fn has_bias(&self) -> bool

fn axis(&self) -> i32

impl ShiftLayerInt8Trait for Ptr<ShiftLayerInt8>

fn as_raw_mut_ShiftLayerInt8(&mut self) -> *mut c_void

impl ShiftLayerInt8TraitConst for Ptr<ShiftLayerInt8>

fn as_raw_ShiftLayerInt8(&self) -> *const c_void

impl ShiftLayerTrait for Ptr<ShiftLayer>

fn as_raw_mut_ShiftLayer(&mut self) -> *mut c_void

impl ShiftLayerTraitConst for Ptr<ShiftLayer>

fn as_raw_ShiftLayer(&self) -> *const c_void

impl ShuffleChannelLayerTrait for Ptr<ShuffleChannelLayer>

fn as_raw_mut_ShuffleChannelLayer(&mut self) -> *mut c_void

fn set_group(&mut self, val: i32)

impl ShuffleChannelLayerTraitConst for Ptr<ShuffleChannelLayer>

fn as_raw_ShuffleChannelLayer(&self) -> *const c_void

fn group(&self) -> i32

impl SigmoidLayerTrait for Ptr<SigmoidLayer>

fn as_raw_mut_SigmoidLayer(&mut self) -> *mut c_void

impl SigmoidLayerTraitConst for Ptr<SigmoidLayer>

fn as_raw_SigmoidLayer(&self) -> *const c_void

impl SliceLayerTrait for Ptr<SliceLayer>

fn as_raw_mut_SliceLayer(&mut self) -> *mut c_void

fn set_slice_ranges(&mut self, val: Vector<Vector<Range>>)

Vector of slice ranges.

fn set_slice_steps(&mut self, val: Vector<Vector<i32>>)

fn set_axis(&mut self, val: i32)

fn set_num_split(&mut self, val: i32)

impl SliceLayerTraitConst for Ptr<SliceLayer>

fn as_raw_SliceLayer(&self) -> *const c_void

fn slice_ranges(&self) -> Vector<Vector<Range>>

Vector of slice ranges.

fn slice_steps(&self) -> Vector<Vector<i32>>

fn axis(&self) -> i32

fn num_split(&self) -> i32

impl SoftmaxLayerInt8Trait for Ptr<SoftmaxLayerInt8>

fn as_raw_mut_SoftmaxLayerInt8(&mut self) -> *mut c_void

fn set_output_sc(&mut self, val: f32)

fn set_output_zp(&mut self, val: i32)

impl SoftmaxLayerInt8TraitConst for Ptr<SoftmaxLayerInt8>

fn as_raw_SoftmaxLayerInt8(&self) -> *const c_void

fn output_sc(&self) -> f32

fn output_zp(&self) -> i32

impl SoftmaxLayerTrait for Ptr<SoftmaxLayer>

fn as_raw_mut_SoftmaxLayer(&mut self) -> *mut c_void

fn set_log_soft_max(&mut self, val: bool)

impl SoftmaxLayerTrait for Ptr<SoftmaxLayerInt8>

fn as_raw_mut_SoftmaxLayer(&mut self) -> *mut c_void

fn set_log_soft_max(&mut self, val: bool)

impl SoftmaxLayerTraitConst for Ptr<SoftmaxLayer>

fn as_raw_SoftmaxLayer(&self) -> *const c_void

fn log_soft_max(&self) -> bool

impl SoftmaxLayerTraitConst for Ptr<SoftmaxLayerInt8>

fn as_raw_SoftmaxLayer(&self) -> *const c_void

fn log_soft_max(&self) -> bool

impl SplitLayerTrait for Ptr<SplitLayer>

fn as_raw_mut_SplitLayer(&mut self) -> *mut c_void

fn set_outputs_count(&mut self, val: i32)

Number of copies that will be produced (is ignored when negative).

impl SplitLayerTraitConst for Ptr<SplitLayer>

fn as_raw_SplitLayer(&self) -> *const c_void

fn outputs_count(&self) -> i32

Number of copies that will be produced (is ignored when negative).

impl SwishLayerTrait for Ptr<SwishLayer>

fn as_raw_mut_SwishLayer(&mut self) -> *mut c_void

impl SwishLayerTraitConst for Ptr<SwishLayer>

fn as_raw_SwishLayer(&self) -> *const c_void

impl TanHLayerTrait for Ptr<TanHLayer>

fn as_raw_mut_TanHLayer(&mut self) -> *mut c_void

impl TanHLayerTraitConst for Ptr<TanHLayer>

fn as_raw_TanHLayer(&self) -> *const c_void

impl VectorElement for Ptr<BackendNode>

where Vector<Ptr<BackendNode>>: VectorExtern<Ptr<BackendNode>>,

impl VectorElement for Ptr<BackendWrapper>

where Vector<Ptr<BackendWrapper>>: VectorExtern<Ptr<BackendWrapper>>,

impl VectorElement for Ptr<Layer>

where Vector<Ptr<Layer>>: VectorExtern<Ptr<Layer>>,